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dc.contributor.authorErez, Elona
dc.contributor.authorKim, MinJi
dc.contributor.authorXu, Yun
dc.contributor.authorYeh, Edmund M.
dc.contributor.authorMedard, Muriel
dc.date.accessioned2019-11-20T15:21:31Z
dc.date.available2019-11-20T15:21:31Z
dc.date.issued2014-06
dc.identifier.issn0018-9448
dc.identifier.issn1557-9654
dc.identifier.urihttps://hdl.handle.net/1721.1/122978
dc.description.abstractThe capacity of multiuser networks has been a long-standing problem in information theory. Recently, Avestimehr et al. have proposed a deterministic network model to approximate multiuser wireless networks. This model, known as the ADT network model, takes into account the broadcast nature as well as the multiuser interference inherent in the wireless medium. For the types of connections we consider, we show that the results of Avestimehr et al. under the ADT model can be reinterpreted within the algebraic network coding framework introduced by Koetter and Médard. Using this framework, we propose an efficient distributed linear code construction for the deterministic wireless multicast relay network model. Unlike several previous coding schemes, we do not attempt to find flows in the network. Instead, for a layered network, we maintain an invariant where it is required that at each stage of the code construction, certain sets of codewords are linearly independent.en_US
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/tit.2014.2329840en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcearXiven_US
dc.titleDeterministic Network Model Revisited: An Algebraic Network Coding Approachen_US
dc.typeArticleen_US
dc.identifier.citationErez, Elona et al. "Deterministic Network Model Revisited: An Algebraic Network Coding Approach" IEEE Transactions on Information Theory 60, 8 (June 2014): 4867-4879 © Copyright 2019 IEEEen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.relation.journalIEEE Transactions on Information Theoryen_US
dc.eprint.versionOriginal manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2019-06-20T16:51:32Z
dspace.date.submission2019-06-20T16:51:33Z
mit.journal.volume60en_US
mit.journal.issue8en_US


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